Ryan Feeley
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- Probabilistic and Robust Engineering Design 2
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research 1
- Computational Mechanics top 5%
- Control and Systems Engineering top 10%
- Advanced Control Systems Optimization 3
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- Advanced Multi-Objective Optimization Algorithms 2
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- Gene Regulatory Network Analysis 2
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- Ionosphere and magnetosphere dynamics 1
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- Machine Learning in Materials Science 1
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- Atmospheric chemistry and aerosols 1
- Co-authors
- Andrew PackardMichael FrenklachPeter SeilerAndy PackardWeehong TanAdam P. ArkinGregory P. Smith
- Journals
- The Journal of Physical Chemistry A (3 papers)Journal of Geophysical Research Atmospheres (1 paper)Optimization and Engineering (1 paper)
- Partner nations
- United States
In The Last Decade
Ryan Feeley
7 papers receiving 478 citations
Peers
Comparison fields: 5 of 64
- Fluid Flow and Transfer Processes 191
- Statistics, Probability and Uncertainty 87
- Numerical Analysis 43
- Computational Mechanics 150
- Control and Systems Engineering 151
Countries citing papers authored by Ryan Feeley
This map shows the geographic impact of Ryan Feeley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ryan Feeley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Feeley more than expected).
Fields of papers citing papers by Ryan Feeley
This network shows the impact of papers produced by Ryan Feeley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ryan Feeley. The network helps show where Ryan Feeley may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Ryan Feeley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 65 | |
| 2 | 2006 | 50 | |
| 3 | 2006 | 13 | |
| 4 | 2006 | 40 | |
| 5 | 2004 | 132 | |
| 6 | 2004 | 75 | |
| 7 | 2003 | 111 |
About Ryan Feeley
Ryan Feeley is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics, Numerical Analysis, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 7 papers that have together received 486 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Gene Regulatory Network Analysis (2 papers), Probabilistic and Robust Engineering Design (2 papers), Ionosphere and magnetosphere dynamics (1 paper), Machine Learning in Materials Science (1 paper), Advanced Optimization Algorithms Research (1 paper) and Atmospheric chemistry and aerosols (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (191 citations), Statistics, Probability and Uncertainty (87 citations), Numerical Analysis (43 citations), Computational Mechanics (150 citations) and Control and Systems Engineering (151 citations). Ryan Feeley has collaborated with scholars based in United States. Frequent co-authors include Andrew Packard, Michael Frenklach, Peter Seiler, Andy Packard, Weehong Tan, Adam P. Arkin and Gregory P. Smith. Their work appears in journals such as The Journal of Physical Chemistry A, Journal of Geophysical Research Atmospheres, Optimization and Engineering and International Journal of Chemical Kinetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.